Publications
2025
dtaianomaly: A Python library for time series anomaly detection
Louis, Carpentier;
Nick, Seeuws;
Wannes, Meert;
Mathias, Verbeke;
“dtaianomaly: A Python library for time series anomaly detection.” arXiv preprint arXiv:2502.14381 (2025).
2024
Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks
Louis, Carpentier;
Arne, De Temmerman;
Mathias, Verbeke;
“Towards Contextual, Cost-Efficient Predictive Maintenance in Heavy-Duty Trucks.” International Symposium on Intelligent Data Analysis (IDA), 2024, doi: 10.1007/978-3-031-58553-1_21.
Louis, Carpentier;
Len, Feremans;
Wannes, Meert;
Mathias, Verbeke;
“Pattern-based Time Series Semantic Segmentation with Gradual State Transitions.” SIAM International Conference on Data Mining (SDM), 2024, doi: 10.1137/1.9781611978032.36.
Louis, Carpentier;
Jorik, Jooken;
Jan, Goedgebeur;
“A heuristic algorithm using tree decompositions for the maximum happy vertices problem.” Journal of Heuristics (JoH), 2024, doi: 10.1007/s10732-023-09522-x.